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Ingeniería y Desarrollo
Print version ISSN 0122-3461On-line version ISSN 2145-9371
Abstract
REVELO LUNA, David; MEJIA MANZANO, Julio; MONTOYA-BONILLA, Bibiana P. and HOYOS GARCIA, Javier. Analysis of the Vegetation Indices NDVI, GNDVI, and NDRE for the Characterization of Coffee Crops (Coffea arabica). Ing. Desarro. [online]. 2020, vol.38, n.2, pp.298-312. Epub Oct 07, 2021. ISSN 0122-3461. https://doi.org/10.14482/inde.38.2.628.
Recently, vegetation indices have been used in order to determine the type of cover, with the interest of its temporal variation evaluation, or with the aim of determining the status of the health of crops from estimation of some charac teristics such as plant vigor, chlorophyll content, nutritional or water status. Se veral studies have put forward a range of vegetation indices that use different bands in the visible and near-infrared spectrum, to obtain characteristics of interest. In this study, statistical differen ces between the NDVI, GNDVI, and NDRE vegetation indices, estimated from aerial images taken at 30 m above the canopy of an experimental Coffea arabica crop, were evaluated. Spearman correlation coefficient showed a higher correlation between the NDVI and GNDVI indices, compared to that found between either of them and NDRE. In addition to this, it was observed that, according to the va lues of the coefficient of variation, and the subsequent analysis of the histograms, the NDRE index presented a grea ter sensitivity to variation in plant vigor, which would suggest a greater potential to characterize the state of development of coffee cultivation, compared to other studied indices.
Keywords : Coffea arabica; multispec tral images; precision agriculture; spectral índices.